Buzz
by Open Source CommunityBuzz is an offline speech-to-text tool based on OpenAI's Whisper model, compatible with Windows, macOS, and Linux, supporting real-time transcription and multiple file formats.
What is Buzz?
Buzz is an offline speech-to-text tool based on OpenAI's Whisper model, compatible with Windows, macOS, and Linux systems. Buzz can convert microphone input or audio/video files into text in real-time, supporting multiple import and export formats such as TXT, SRT, and VTT. Buzz offers fast conversion speeds, high accuracy, multi-language recognition, and the ability to translate results into English.
Main Features of Buzz
- Real-time Speech-to-Text: Buzz can convert speech captured by a microphone into text in real-time, suitable for meeting minutes, interviews, and more.
- Audio and Video File Transcription: Supports converting various formats of audio and video files into text for easy editing and analysis.
- Multi-language Support: Buzz not only supports Chinese but also recognizes and processes multiple languages, making it an international tool.
- Export Sentence-by-Sentence or Word-by-Word Subtitles: Users can choose to export subtitles in formats such as SRT (sentence-by-sentence) or VTT (word-by-word).
- Translation Function: Currently, Buzz only supports translating the recognized text into English.
- Offline Operation: All speech transcription and translation processes are performed locally, ensuring user privacy without requiring an internet connection.
How to Use Buzz
- Download and Install: Visit Buzz's project site and download the appropriate installation package for your operating system.
- Launch Buzz: After installation, launch the Buzz program. For the command-line version, run it in the terminal or command prompt.
- Download Whisper Model (if needed): First-time users need to download the Whisper model. Choose the model based on its size and language capabilities.
- Import Audio or Video Files: Use Buzz's graphical user interface to select the "Import" function or specify the file path using command-line parameters.
- Start Conversion: Select conversion settings, such as output format (TXT, SRT, VTT, etc.), and begin the conversion process.
- Get Results: After conversion, check the generated subtitle or text file to ensure the timestamps and content are accurate.
Buzz Project Links
- Project Website: https://chidiwilliams.github.io/buzz/docs
- Github Repository: https://github.com/chidiwilliams/buzz
- Buzz Installation Packages: https://github.com/chidiwilliams/buzz/releases
Applications of Buzz
- Video Subtitle Creation: Quickly generate subtitles for video content, improving production efficiency, especially for video bloggers and content creators.
- Interview Transcription: Journalists and researchers can convert interview audio into text for easy editing, analysis, and referencing.
- Language Learning Aid: Language learners can use Buzz to transcribe native speakers' pronunciation, helping them learn the rhythm and intonation of the language.
- Meeting Minutes: Use Buzz to record discussions during meetings, quickly generating meeting minutes to improve efficiency.
- Academic Research: Researchers can use Buzz to transcribe lectures or discussions related to their studies, facilitating further research.
Features & Capabilities
What You Can Do
Real-Time Transcription
Audio File Transcription
Video File Transcription
Multi-Language Recognition
Translation
Categories
Speech-to-Text
OpenAI
Offline
Multi-language
Real-time Transcription
Audio Processing
Video Processing
Open Source
Local Processing
Translation
Example Uses
- Video Subtitle Creation
- Interview Transcription
- Language Learning Aid
- Meeting Minutes
- Academic Research
Getting Started
Pricing
free
Screenshots & Images
Primary Screenshot
Additional Images
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